There are four tightly-integrated key components to our proposed approach to enable 3D through-wall imaging, as shown in the figure below. First, we have proposed robotic paths that can capture the spatial variations in all the three dimensions as much as possible while maintaining the efficiency of the operation. Second, we have modeled the 3D unknown area of interest as a Markov Random Field and utilized Loopy Belief Propagation to update the imaging decision of each voxel. In order to approximate the interaction of the transmitted wave with the area of interest, we have used the WKB linear wave model. Finally, we have also taken advantage of the compressibility of the information content to image the area with a very small number of WiFi measurements (less than 4%), using sparse signal processing.
Most of us aren’t constantly beset by poor posture. But all it takes is some subtle misalignment while you’re doing serious hours behind the wheel driving or working away at a desk to do a real number on your back. In fact, most of us are so unaware of the mechanics of good posture that […]
From ordering from Amazon to paying bills over the web to something as simple as bottled water, we’re all hooked on modern convenience. We can’t help it. There are just too many modern world advances that save us too much time not to become a creature of comfort and go the easy route. Even if […]
No matter whether you go into the office or work from home, whether you roll out of bed at 5 a.m. or never get up before 9, we all agree a day can on how you feel first thing in the morning when you wake up. If you wake up feeling groggy or out of […]